Senior Data Specialist

4 weeks ago

Solna, Sweden Dun & Bradstree Full time
Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us Learn more at . The Data Center of Excellence Team: We are looking for a Senior Data Specialist, with interest in working with Sematic Tools, to support us in one of the coolest data platform transformations you can imagine. Data is our business, our product, and our passion. So, if you love working with data challenges you are now invited to participate on a mission that will revolutionize how we serve data to our products and customers. As part of the Data Center of Excellence organization, you will contribute to helping our organization with analyze business requirements on data delivery and help implementing those. The data universe span over information objects such as company, person, real estate, geography, vehicles, financial information, phone subscription, credit data and more. All to be mastered and described in RDF ontology to support semantic web principals in our future master data platform.

Your Role Will Include:

Work in close collaboration with Tech Development, Data Owners, Tech Architecture, Product and Analytics departments to capture business requirements needed for the data transformation implementation. Analyze data assets to identify detailed requirements on master data rules to meet data quality demands. Support data transformation projects with change management coordination, making sure everyone understand and feel supported in what goals to reach and how. Doing hands-on mappings and configurations of data flows including enforcing of data governance policies and procedures. Work in close collaboration with our experts in Semantic Web technologies to maintain and expand our Ontology

About You:

We believe that you have 7+ years of experience of working with data, preferably around Data Management or similar You like solving problems together with others and have the communication skills to bring different persons and departments together towards a common goal. Are experienced in working in an Agile environment. Have excellent communication skill both in written and spoken English. Ability to work independently on projects. Ability to read, interpret, and verify data from multiple formats

Bonus points for:

Experience from working with data management in a credit, marketing, phone directory or financial industry. Good understanding of data privacy and rules and regulations such as GDPR, credit information acts etc. Experience from participating in large scale data projects. Experience or good understanding of Data-/Information architecture principals. Technical knowledge of SQL and NoSQL and common delivery formats such as xml, json and csv. Basic understanding of Ontology

Benefits:

A team that is hungry for success, supportive and eager to learn and develop Attractive social benefits (including company pension) and various benefits 30 days of vacation, plus "unsick day" and "Volunteer Days" Subject-specific and cross-discipline development opportunities: Access to international training and development programs The right tools for success (iPhone, laptop, etc.) Fun, joy and trust within a team that is very engaged and want to make a difference together If any of this excites you, we want to hear from you All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's and , which governs the processing of visitor data on this platform.

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